Scholar
Xavier Pennec
Google Scholar ID: mjFyf2wAAAAJ
Senior Research Scientist (Directeur de Recherche), INRIA, Epione team
Citations & Impact
Citations
10,871
H-index
42
i10-index
122
Publications
20
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- 2025: GSI Achievement Award recognizing outstanding achievement in geometric science of information; 2024: Grand prix Ampère EDF 2024 de l'Académie des sciences; 2017: Fellow of the Medical Image Analysis and Computer Assisted Intervention (MICCAI) scientific society for pioneering theoretical contributions grounding the field of computational anatomy, shape statistics and medical image computing; Animated the workshop Mathematical Foundations of Computational Anatomy from 2006 to 2019; Co-edited the first reference book on Riemannian Geometric Statistics in Medical Image Analysis in 2020; Awarded the ERC Advanced Grant G-Statistics in 2018.
Research Experience
- 3IA Côte d'Azur Chair holder on Geometric statistics and geometric subspace learning since 2007; Senior Research Scientist (Directeur de Recherche) at Inria since 2007; Previously: Research Scientist at INRIA (1998-2007) & Post-doctoral associate at MIT (1997).
Education
- Habilitation à diriger des recherches (HDR), University of Nice-Sophia Antipolis, FR, 2006; PhD from the Ecole Polytechnique, Palaiseau, FR, 1996, with highest honors; Master's degree, Ecole Politechnique and Ecole Normale supérieure, Paris, FR, 1993, with highest honors; Engineer Degree, Ecole Polytechnique, Palaiseau, FR, 1992.
Background
- Research interests: at the intersection of statistics, differential geometry, computer science, and medicine. Particularly interested in the mathematics involved in computational anatomy: geometric statistics involve statistical computing on Riemannian manifolds and other geometric structures (Lie groups, quotient spaces, stratified spaces, information geometry...). Contributed mathematically grounded methods and algorithms for medical image registration, statistics on shapes, and their translation to clinical research applications.
Miscellany
- Personal interests not specifically mentioned.
